Daniel Paape

1.3k citations
22 papers · 848 indexed · h-index 17

Daniel Paape

22 papers receiving 837 citations

Peers

Daniel Paape
Comparison fields: 5 of 93
  • Parasitology 98
  • Public Health, Environmental and Occupational Health 383
  • Epidemiology 408
  • Immunology 171
  • Molecular Biology 272
Replace Lorena Bavia with:
Lorena Bavia Brazil
Krystal J. Evans Australia
Manas Ranjan Dikhit India
Muhammad M. Mukhtar Nigeria
Annalisa Macagno Italy
Niklaus H. Mueller United States
Agam Prasad Singh India
Miriam Leandro Dorta Brazil
Allen B. Clarkson United States
Petra Rohrbach Canada
Daniel Paape relative to Lorena Bavia Brazil Lorena Bavia's profile →
Citations per field
00.5×3.3×
Lorena Bavia · 1×
Citations per year

Countries citing papers authored by Daniel Paape

Since Specialization
Citations

This map shows the geographic impact of Daniel Paape's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Paape with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paape more than expected).

Fields of papers citing papers by Daniel Paape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Paape. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Paape. The network helps show where Daniel Paape may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel Paape, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Paape Line = papers co-authored together Daniel Paape links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202022
2 20207
3 20209
4 202010
5 201824
6 201736
7 201642
8 201627
9 201642
10 201525
11 201566
12 201540
13 201415
14 201443
15 201315
16 2012121
17 201130
18 200957
19 2009117
20 200861

About Daniel Paape

Daniel Paape is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Parasitology, Physiology and Toxicology, having authored 22 papers that have together received 848 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (17 papers), Trypanosoma species research and implications (17 papers), Parasites and Host Interactions (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Enzyme function and inhibition (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Effects of Radiation Exposure (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Parasitology (98 citations), Public Health, Environmental and Occupational Health (383 citations), Epidemiology (408 citations), Immunology (171 citations) and Molecular Biology (272 citations). Daniel Paape has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Toni Aebischer, Katrin Manda, Guido Hildebrandt, Deborah F. Smith, Annegret Glasow, Edward W. Tate, Megan H. Wright, Judith E. Allen, Martin E. Barrios‐Llerena and Katie J. Mylonas. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS neglected tropical diseases, Molecular Microbiology, Molecular & Cellular Proteomics and ACS Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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